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data streaming in from cameras, devices, and sensors. Our expertise in Power Engineering, Renewable Energy Systems, Robotics, AI/Machine Learning, Computer Vision and Signal Processing allows us to
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Who are we looking for? We are seeking a Casual Student Success Partner (Retention) (multiple positions available) to join Learning and Teaching Unit, Education Portfolio, Academic Division
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July 2025 have a master’s degree in data science, computer science, operational research, transport engineering, or related discipline have a strong background in data science, machine learning
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data streaming in from cameras, devices, and sensors. Our expertise in Power Engineering, Renewable Energy Systems, Robotics, AI/Machine Learning, Computer Vision and Signal Processing allows us to
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to recruit a student to take up the scholarship and begin full-time study in July 2024. You will have: a background in a relevant computer science, social science, or humanities discipline, such as machine
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diploma with at least two (2) years subsequent relevant work experience. Demonstrated ability to acquire, interpret, apply and provide advice and guidance on legislation, policy, procedures and student